docs: def get_dict(self, only_attributes=None, exclude_attributes=None, df_format=False):
          """Summarize the I-TASSER run in a dictionary containing modeling results and top predictions from COACH
  
          Args:
              only_attributes (str, list): Attributes that should be returned. If not provided, all are returned.
              exclude_attributes (str, list): Attributes that should be excluded.
              df_format (bool): If dictionary values should be formatted for a dataframe
                  (everything possible is transformed into strings, int, or float -
                  if something can't be transformed it is excluded)
  
          Returns:
              dict: Dictionary of attributes
  
          """
  
          to_exclude = ['coach_bsites', 'coach_ec', 'coach_go_mf', 'coach_go_bp', 'coach_go_cc']
          if not exclude_attributes:
              excluder = to_exclude
          else:
              excluder = ssbio.utils.force_list(exclude_attributes)
              excluder.extend(to_exclude)
  
          summary_dict = StructProp.get_dict(self, only_attributes=only_attributes,
                                             exclude_attributes=excluder,
                                             df_format=df_format)
  
          if self.coach_bsites:
              tmp = {'top_bsite_' + k:v for k, v in self.coach_bsites[0].items()}
              summary_dict.update(tmp)
  
          if self.coach_ec:
              tmp = {'top_ec_' + k: v for k, v in self.coach_ec[0].items()}
              summary_dict.update(tmp)
  
          if self.coach_go_mf:
              tmp = {'top_go_mf_' + k: v for k, v in self.coach_go_mf[0].items()}
              summary_dict.update(tmp)
  
          if self.coach_go_bp:
              tmp = {'top_go_bp_' + k: v for k, v in self.coach_go_bp[0].items()}
              summary_dict.update(tmp)
  
          if self.coach_go_cc:
              tmp = {'top_go_cc_' + k: v for k, v in self.coach_go_cc[0].items()}
              summary_dict.update(tmp)
  
          return summary_dict